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opencv_tutorials_t7 [2016/06/07 15:43] – joaomatosopencv_tutorials_t7 [2016/06/07 15:52] – joaomatos
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  I recommend you to type the code on your own to get familiarized with the program language. If you have trouble , the original code is attached bellow ( Running on Visual Studio 2015 + OpenCV 3.1 ) * Check the installation guide to make sure that you linked all the OpenCV modules to your Visual Studio.  I recommend you to type the code on your own to get familiarized with the program language. If you have trouble , the original code is attached bellow ( Running on Visual Studio 2015 + OpenCV 3.1 ) * Check the installation guide to make sure that you linked all the OpenCV modules to your Visual Studio.
 +
 +{{::track_by_image_moments.rar| Track Object by image moments}}
  
 ---- ----
 ===== Tracking an object using image moments ===== ===== Tracking an object using image moments =====
  
 +{{ ::track_moment.jpg?direct |}}
  
 <Code C++ linenums:1> <Code C++ linenums:1>
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  Here we create the on/off toggles to use the morphological transformations (by pressing 'm') and to run the tracking algorithm (by pressing 't') . Each time 'm' or 't' is pressed the Booleans useTrack and useFeatures will change values from TRUE to FALSE and vice-versa. Every time these values are TRUE , it will enter inside the conditional loop that will call the respective functions , **"DilateAndErode()"** and **"TrackObject()"**.  Here we create the on/off toggles to use the morphological transformations (by pressing 'm') and to run the tracking algorithm (by pressing 't') . Each time 'm' or 't' is pressed the Booleans useTrack and useFeatures will change values from TRUE to FALSE and vice-versa. Every time these values are TRUE , it will enter inside the conditional loop that will call the respective functions , **"DilateAndErode()"** and **"TrackObject()"**.
  
 +
 +----
 +<Code C++ linenums:226>
 +                //show frames 
 + imshow("Threshold Image", threshold);
 + imshow("Live Web Cam", coloredimage);
 + imshow("HSV Image", HSV);
    
 + key = waitKey(25);
 + 
 + }
 + 
 + 
 + 
 + return 0;
 +}
 + 
 +</Code>
 +
 + Finally we open and display three different windows to show the Live web cam video , the threshold version and the HSV version. The key value is updated using **"key = waitKey(25)"**. And our program is done !
opencv_tutorials_t7.txt · Last modified: 2016/06/07 15:57 by joaomatos